Dsrip — Bloat

But recently, a new term has crept into the lexicon of Medicaid transformation:

Look at your DSRIP project plan. Find the metrics you haven't moved the needle on in two years. If a metric has a 98% compliance rate (floor) or a 2% rate (irrelevant), stop collecting it at full frequency. Move it to a quarterly sample, not a monthly census. bloat dsrip

Have you experienced DSRIP data bloat in your organization? Share your worst "report crash" story in the comments below. But recently, a new term has crept into

Here is how bloat manifests in DSRIP, why it destroys your ROI, and how to lean out your reporting. 1. Metric Creep (The "Nice to Know" Syndrome) DSRIP originally focused on high-impact areas: avoidable ER visits, cardiovascular health, and perinatal care. But over three years, someone always asks, "Can we just add one more measure?" Suddenly, you are tracking 120 discrete data points for a single patient cohort. When every metric is a priority, none are. The bloat comes from measuring things that are easy to track (data availability) rather than things that change outcomes (clinical relevance). Move it to a quarterly sample, not a monthly census